Triple

T4820652
Position Surface form Disambiguated ID Type / Status
Subject Vladimir Oblast E107701 entity
Predicate hasTown P847 FINISHED
Object Gus-Khrustalny E471232 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gus-Khrustalny | Statement: [Vladimir Oblast, hasTown, Gus-Khrustalny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gus-Khrustalny
Context triple: [Vladimir Oblast, hasTown, Gus-Khrustalny]
  • A. Gus-Khrustalny chosen
    Gus-Khrustalny is a town in western Russia known for its historic glass-making industry and status as a local industrial center.
  • B. Godunov
    Godunov is a Russian surname most famously associated with Boris Godunov, the tsar who ruled Russia at the turn of the 17th century.
  • C. Georgy Katys
    Georgy Katys is a Russian television presenter and journalist known for hosting popular TV programs.
  • D. Vyacheslav
    Vyacheslav is a masculine given name of Slavic origin, most notably borne by Soviet politician Vyacheslav Molotov.
  • E. Gergiev
    Gergiev is the surname of Valery Gergiev, a prominent Russian conductor known for leading major orchestras and opera companies worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c98358081908ed43425af667a98 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5caf2a488190aee1e81c71bd4b60 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:24 p.m.